MATH 1F92 Lecture Notes - Lecture 15: Random Variable, Standard Deviation
9 Mar 2018
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Document Summary
A random variable is a numerical measure of the outcome of a probability experiment, Random variables are usually denoted by capital letters like x". There are two types of quantitative data, or random variables. Every value must be an integer number (-1, 0,1,2,3,etc); Eg: you can"t watch 0. 2 of a movie, it needs to be a whole number. Every value can take on any real integer or fractional number (infinite amount of values) Everything we"ve dealt with so far in terms of probabilities, has been using discrete data. Our values of x have only been able to equal integer values. So when we say p(x) is occurring, what we are really saying is: X" represents the value that the random # Must follow: in order to be a probability model or a probability distribution, it must follow the following rules. P(x=x) = 1: 0 p(x=x) 1. Imagine we were looking at the sum when rolling 2 dice.
